Citation Analysis

Principal Component Copulas for Capital Modeling and Systemic Risk
K. B. Gubbels, J. Y. Ypma, C. W. Oosterlee
https://arxiv.org/abs/2312.13195
84
Citation mentions
31
Cited references
6
Sections
8,000
Words (approx)

References by Citation Intensity

Ordered by composite index (descending). Higher values indicate more intensive citation.

# Reference Year Mentions Breadth Sec. Wtd Share Composite Main %
1 12 5 18.0 0.143 1.000 100%
2 5 4 8.0 0.060 1.000 100%
3 5 4 9.0 0.060 1.000 100%
4 4 4 7.0 0.048 0.928 100%
5 4 3 7.0 0.048 0.928 100%
6 4 3 7.0 0.048 0.928 100%
7 4 4 8.0 0.048 0.928 100%
8 5 2 9.0 0.060 0.874 100%
9 3 3 5.0 0.036 0.843 100%
10 3 3 5.0 0.036 0.843 100%
11 3 2 5.0 0.036 0.737 100%
12 3 2 6.0 0.036 0.737 100%
13 2 2 3.0 0.024 0.644 100%
14 2 2 3.0 0.024 0.644 100%
15 2 2 3.0 0.024 0.644 100%
16 3 1 6.0 0.036 0.585 100%
17 2 1 2.0 0.024 0.511 100%
18 2 1 2.0 0.024 0.511 100%
19 2 1 4.0 0.024 0.511 100%
20 2 1 4.0 0.024 0.511 100%
21 2 1 4.0 0.024 0.511 100%
22 1 1 1.0 0.012 0.406 100%
23 1 1 1.0 0.012 0.406 100%
24 1 1 1.0 0.012 0.406 100%
25 1 1 1.0 0.012 0.406 100%
26 1 1 2.0 0.012 0.406 100%
27 1 1 2.0 0.012 0.406 100%
28 1 1 2.0 0.012 0.406 100%
29 1 1 2.0 0.012 0.406 100%
30 1 1 2.0 0.012 0.406 100%
31 1 1 2.0 0.012 0.406 100%
Measures: Mentions = total in-text citations; Breadth = distinct sections; Sec. Wtd = section-weighted count (body ×2, lit review/appendix ×0.5); Share = mentions / total citations in paper; Composite = geometric mean of normalised count, breadth, and main-text ratio; Main % = fraction of mentions in main text (excl. appendix). (self) = self-citation.